Recent studies show that artificial intelligence (AI), such as machine learning and deep
learning, models can be adopted and have advantages in fault detection and diagnosis for …

Heating, ventilation, and air conditioning (HVAC) systems are a popular research topic
because buildings' energy is mostly used for heating and/or cooling. These systems heavily …

This study aimed to assess the current status of Fault Detection and Diagnosis (FDD)
implementation in building and Heating, Ventilation and Air Conditioning (HVAC) systems in …

The failure of air conditioning systems is random and uncertain, with one or more faults
occurring simultaneously at any given time. Factors such as difficulty in collecting fault data …

The data-driven approach currently dominates the field of Automatic Fault Detection and
Diagnosis (AFDD) in HVAC systems. However, a significant concern lies in the prevalent …

This paper investigates various types of faults in District Heating & Cooling (DHC) systems.
Many authors point out that the lack of data hinders the development of good data-driven …

Improving maintenance strategies is an important component in reducing wastes of energy
in industrial systems and especially energy systems, as they represent a large proportion of …

Fault detection in light commercial building HVAC systems can significantly improve the
energy efficiency of this class of buildings. A light commercial building is a commercial …

Industry is stuck in reactive mode regarding the maintenance of their heating, ventilation and
air conditioning (HVAC) systems, which leads to inefficient operation. To avoid wasteful use …

This paper investigates the performance of two probabilistic approaches, Ensemble batch
Prediction Intervals (EnbPI) a conformal prediction approach and XGBoost Location, Scale …